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- 3d points normals .using pcl
findPointNormals
- 基于kd-tree搜索算法，利用局部邻域的平面拟合，检测三维点云数据的法线方向- Estimates the normals of a sparse set of n 3d points by using a set of the closest neighbours to approximate a plane.
lit-pyramid
- 呈现一根点燃的金字塔。 演示如何指定顶点法线，材料如何创建和设置，以及如何创建和设置方向光。-Renders a lit pyramid. Demonstrates how to specify the vertex normals, how to create and set a material, and how to create and set a directional light.
Point-cloud-normal
- 在对散乱点云进行三维重建时，许多算法都需要求点云的法矢并保证所有法矢的方向一致向外。本程序就是对点云数据求法矢和方向调整，包含文件输入输出的完整程序。-Scattered normals strike and reorientation
normal_estimation
- 基于PCL，使用积分图计算一个有序云的表面法线-Ordered a cloud computing surface normals based PCL, using the integral image
CS-recovery-LevelSet-Normals
- 压缩感知恢复算法，使用新的范数来提升图像恢复能力，包含论文和代码。-We propose a compressive sensing algorithm that exploits geometric properties of images to recover images of high quality few measurements. The image reconstruction is done by iterating the two following steps: 1) e
1 normal_estimation
- 对所有输入点云数据集中的点估计一组表面法线(A set of surface normals is estimated for all points in the input point cloud dataset)
2 normal_estimation_using_integral_images
- 使用积分图计算一个有序点云的法线，注意该方法只适用于有序点云(Use the integral graph to compute the normals of an ordered point cloud)